DistractMIA: Black-Box Membership Inference on Vision-Language Models via Semantic Distraction
arXiv:2605.12574v1 Announce Type: new
Abstract: Vision-language models (VLMs) are trained on large-scale image-text corpora that may contain private, copyrighted, or otherwise sensitive data, motivating membership inference as a tool for training-data…